CASE STUDY
Company Overview
U.S.-based retail chain known for its pop culture and music-inspired apparel, accessories, and collectibles.
Company Type | Company Size | Company Capitalization |
Global Retailer |
7,000+ Employees |
$750 M+ |
Objective
Reimagining retail knowledge management with an AI-first approach that empowers associates at every customer touchpoint.
Key Issues
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Store associates currently had to search through multiple SOPs to find relevant information. Without acting, they risked declining customer satisfaction and employee retention.
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Store operations sought a unified information interface expert to help build a solution that extracts and combines information from applicable SOPs through a multi-document copilot.
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Key priorities were leveraging AI for information retrieval, ensuring procedural accuracy, and architecting a user-friendly and scalable cloud solution.
Approach
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We worked with the client to assess their documentation, systems and goals around leveraging AI for store operations improvement.
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We developed a unified AI copilot interface that instantly extracts and combines information from all relevant SOPs, providing contextual answers to associate queries in natural language.
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We implemented a comprehensive solution featuring document digitization, intelligent content extraction, and a multi-document retrieval system – all accessible through an intuitive mobile interface.
Results
- 42% Reduction in information search time
- 28% Increase in faster customer query resolution
- 15% Increase in productive time per associate workday